Mapping integrated crop-livestock systems in Brazil with planetscope time series and deep learning
Accurate mapping of crops with high spatiotemporal resolution plays a critical role in
achieving the Sustainable Development Goals (SDGs), especially in the context of …
achieving the Sustainable Development Goals (SDGs), especially in the context of …
Deep Learning for Satellite Image Time-Series Analysis: A review
Earth observation (EO) satellite missions have been providing detailed images about the
state of Earth and its land cover for over 50 years. Long-term missions, such as those of …
state of Earth and its land cover for over 50 years. Long-term missions, such as those of …
Mapping integrated crop–livestock systems using fused Sentinel-2 and PlanetScope time series and deep learning
Integrated crop–livestock systems (ICLS) are among the main viable strategies for
sustainable agricultural production. Mapping these systems is crucial for monitoring land …
sustainable agricultural production. Mapping these systems is crucial for monitoring land …
[HTML][HTML] Monitoring Cover Crop Biomass in Southern Brazil Using Combined PlanetScope and Sentinel-1 SAR Data
Precision agriculture integrates multiple sensors and data types to support farmers with
informed decision-making tools throughout crop cycles. This study evaluated Aboveground …
informed decision-making tools throughout crop cycles. This study evaluated Aboveground …
Integrating Genomics and Remote Sensing Technologies for Wildlife Monitoring
X Zhu - Animal Molecular Breeding, 2024 - animalscipublisher.com
This study outlines the integration of genomic and remote sensing technologies to enhance
wildlife monitoring efforts. By combining these advanced methodologies, the study aims to …
wildlife monitoring efforts. By combining these advanced methodologies, the study aims to …